AB1410 IMPACT OF COVID-19 PANDEMIC ON HEALTHCARE RESOURCE USE AND CLINICAL OUTCOMES IN A COHORT OF PATIENTS WITH SYSTEMIC AUTOIMMUNE DISEASES- AN INTERIM ANALYSIS FROM THE PER-MAS PROJECT.
Authors: F. Trentin, G. Fulvio, G. Andreozzi, C. Cigolini, M. Da Rio, V. Dell’Oste, E. Elefante, F. Fattorini, S. Fonzetti, V. Lorenzoni, M. Maffi, I. C. Navarro García, I. Palla, V. Pedrinelli, L. Scagnellato, D. Schilirò, A. Valevich, A. Gaglioti, C. Carmassi, C. Tani, L. Dell’osso, G. Turchetti, M. Mosca
Journal: Annals of the Rheumatic Diseases (2022)

Background Management of the health emergency caused by COVID-19 pandemic majorly disrupted the delivery of healthcare services to patients with chronic conditions like Systemic Autoimmune Diseases (SAD), both because resources were mainly channeled towards the care of infected patients, but also because patients tended to avoid seeking medical care for fear of becoming infected. PER-MAS is a 2-year project aimed at assessing the clinical, psychopathological, and socio-economic impact of COVID-19 in a cohort of patients with SAD. Objectives To assess the impact of COVID-19 pandemic on drug withdrawal, disease flares and hospitalizations for disease exacerbation in a cohort of patients with SAD through an interim analysis of data from the PER-MAS project. Methods A sample of 214 consecutive patients was recruited in a reference center for rare and complex autoimmune diseases from April 2021 to January 2022. Inclusion criteria were definite diagnosis of SAD (Connective Tissue Disease (CTD), Inflammatory Arthritis (IA) or Vasculitis), regular follow-up and at least 2 years of disease. Patients were asked to fill out an extensive self-administered questionnaire on disease activity and healthcare resource use during the pandemic (March 2020-moment of assessment). Pre-pandemic (March 2019-February 2020) and early pandemic (March 2020-February 2021) clinical data were recorded through retrospective chart review and patient interview. Results At enrolment, 119 patients were affected by CTDs (55.6%), 71 by IA (33.18%), 24 by vasculitis (11.21%), with mean age 50.44± 12.97, and mean disease duration 11.17 ± 8.94. 30.37% took steroids, 39.7% hydroxychloroquine, 61.68% DMARDs, and 9.3% vasoactive drugs. Overall, disease course was similar in pre-pandemic and early pandemic phase: in the first period, rheumatologic condition was stable in 57.35% of patients, persistently active in 27.3% and 35.61% had ≥ 1 episode of disease exacerbation (mean 0.665±1.15, range 0-6); in the second period, 60.56% of patients was stable, 24.88% persistently active, and 39.44% had ≥1 exacerbation (mean 0.49 ±0.77, range 0-4). Mean number of visits (2.56±2.57 and 2.61±2.79), hospitalizations (0.168±0.698 and 0.14±0.473, p=0.6), number of patients with outpatient visits=0 (7.47 vs 7%), and number of patients with ≥ 1 hospital admission (10.28 vs 11.6%) were also similar, while the number of patients with hospital admissions for disease exacerbation was significantly higher in the second period (6.1 vs 11.21%, p=0.001). 170 patients completed the survey: from March 2020 to enrolment, 18.2% suspended ≥1 anti-rheumatic drug (6.25% of them for fear of contracting COVID-19 disease, 15.6% for difficulty in obtaining medications), 20% self-managed ≥ 1 disease exacerbation, and 40% had ≥ 1 telemedicine consult. From March to July 2020, 41.76% had their visit rescheduled (35.23% for hospital access restrictions, 5.3% for travel restrictions, 1.17% for fear). Conversely, only 14.7% of patients had their visit rescheduled (8.23% for hospital access restrictions, 4.7% for other reasons) from July 2020 to enrolment. Conclusion In the early pandemic phase, overall disease course was similar to the pre-pandemic phase, but we observed an increase in the number of patients with ≥ 1 hospitalization for disease. Moreover, despite our efforts, patients reported a non-negligible rate of drug discontinuation for non-medical indication and difficulty to get access to rheumatologic consultation, highlighting the need of alternative organizational models in case of future pandemics. Acknowledgements Giulia Sacco for helping in patient recruitment and data management. Disclosure of Interests Francesca Trentin: None declared, Giovanni Fulvio: None declared, Gianni Andreozzi: None declared, Cosimo Cigolini: None declared, Mattia Da Rio: None declared, Valerio Dell’Oste: None declared, Elena Elefante: None declared, Federico Fattorini: None declared, Silvia Fonzetti: None declared, Valentina Lorenzoni: None declared, Michele Maffi: None declared, Inmaculada Concepción Navarro García: None declared, Ilaria Palla: None declared, Virginia Pedrinelli: None declared, Laura Scagnellato: None declared, Davide Schilirò: None declared, Anastasiya Valevich: None declared, Andrea Gaglioti: None declared, Claudia Carmassi: None declared, Chiara Tani: None declared, Liliana Dell’Osso: None declared, Giuseppe Turchetti: None declared, Marta Mosca Speakers bureau: Lilly, Astra Zeneca, GSK, Consultant of: Lilly, Astra Zeneca, GSK